1,521 learning "https:" "https:" "https:" "https:" "https:" "https:" "Computer Vision Center" positions at Duke University
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. Are you enthusiastic about helping others learn and embrace new technology? Join the Duke University School of Medicine Office of Data Science and AI as an AI Learning Facilitator and play a key role in
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Learning Technology Engineer, Open Academy Be You. Be Bold. Choose Duke. Be You. At Duke University, technology plays a critical role in advancing teaching, learning, and innovation. As a Learning
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with conducting research at the intersection of reinforcement learning and statistics. The primary responsibility of the candidate will be to advance statistical methodology useful for the design and
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retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity
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learning. The group studies how language models acquire, use, and communicate information, and how these systems can be evaluated and deployed responsibly in consequential settings. We are particularly
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competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits
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, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal
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family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing
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in placing its VAPs in tenure-track academic positions, as detailed on our website (https://law.duke.edu/vap/ ). The School expects that while at Duke a VAP will produce at least one work of original
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, organization, and function; models of perception, cognition, learning, and behavior; and statistical and machine-learning approaches for understanding neural data and brain function. We are particularly